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Publications associées (344)

Graph Learning Under Partial Observability

Ali H. Sayed, Augusto José Rabelo Almeida Santos

Many optimization, inference, and learning tasks can be accomplished efficiently by means of decentralized processing algorithms where the network topology (i.e., the graph) plays a critical role in enabling the interactions among neighboring nodes. There ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

How single-cell immunology is benefiting from microfluidic technologies

Sebastian Maerkl

The immune system is a complex network of specialized cells that work in concert to protect against invading pathogens and tissue damage. Imbalances in this network often result in excessive or absent immune responses leading to allergies, autoimmune disea ...

2020

Triple Network Model Dynamically Revisited: Lower Salience Network State Switching in Pre-psychosis

Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton

Emerging evidence has attributed altered network coordination between the default mode, central executive, and salience networks (DMN/CEN/SAL) to disturbances seen in schizophrenia, but little is known for at-risk psychosis stages. Moreover, pinpointing im ...

2020

Global robustness versus local vulnerabilities in complex synchronous networks

Philippe René Joseph Jacquod

In complex network-coupled dynamical systems, two questions of central importance are how to identify the most vulnerable components and how to devise a network making the overall system more robust to external perturbations. To address these two questions ...

2019

The key player problem in complex oscillator networks and electric power grids: Resistance centralities identify local vulnerabilities

Philippe René Joseph Jacquod

Identifying key players in coupled individual systems is a fundamental problem in network theory. We investigate synchronizable network-coupled dynamical systems such as high-voltage electric power grids and coupled oscillators on complex networks. We defi ...

American Association for the Advancement of Science (AAAS)2019

Ex-ante measure of patent quality reveals intrinsic fitness for citation-network growth

Kyle William Higham

We have constructed a fitness parameter, characterizing the intrinsic attractiveness for patents to be cited, from attributes of the associated inventions known at the time a patent is granted. This exogenously obtained fitness is shown to determine the te ...

2019

Programmable Fluidic Networks Design for Robotic Origami Sequential Self-Folding

Jamie Paik, Mustafa Mete, Zhenishbek Zhakypov, Julien Fiorentino

Self-folding enables compact, deployable and reconfigurable structures for close and far remote applications. As the degree-of-freedom in achieving folded shapes is dictated by the number of actuators, distributed on a quasi-2-D lattice, their design remai ...

2019

The static and dynamic structural heterogeneities of B-DNA: extending Calladine-Dickerson rules

John Maddocks, Daiva Petkeviciute, Marco Pasi

We present a multi-laboratory effort to describe the structural and dynamical properties of duplex B-DNA under physiological conditions. By processing a large amount of atomistic molecular dynamics simulations, we determine the sequence-dependent structura ...

Oxford University Press (OUP)2019

How single neuron properties shape chaotic dynamics and signal transmission in random neural networks

Wulfram Gerstner, Tilo Schwalger, Samuel Pavio Muscinelli

While most models of randomly connected neural networks assume single-neuron models with simple dynamics, neurons in the brain exhibit complex intrinsic dynamics over multiple timescales. We analyze how the dynamical properties of single neurons and recurr ...

2019

Noise-induced desynchronization and stochastic escape from equilibrium in complex networks

Robin Delabays

Complex physical systems are unavoidably subjected to external environments not accounted for in the set of differential equations that models them. The resulting perturbations are standardly represented by noise terms. If these terms are large enough, the ...

2019

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